A Deployment Platform for Dynamically Scaling Applications in the Cloud

Simplifying the process of deploying applications is almost essential in the cloud. However, existing techniques can automate applications´ initial deployment but have not yet adequately addressed their scaling problem. In this paper, a deployment platform to enable a novel dynamic scaling technique is introduced. This platform employs: (i) an extensible specification that describes all aspects of applications, (ii) a flexible analytical model that determines how many servers to be deployed for an application in each scaling. The platform´s ability to handle dynamic workloads and to scale applications quickly enough to maintain the response time target is demonstrated.